Project Description for Uber
Explore how to optimize Uber's driver allocation system by selecting nearest drivers, calculating travel costs affected by rain, converting fares to words, and enabling ride pooling. Understand key features like shortest path algorithms and driver ranking adjustments to build accessible and efficient ride-hailing solutions in Kotlin using real-world scenarios.
We'll cover the following...
Introduction
Uber is the largest ride-hailing company in the world. They provide services like food and items delivery in addition to the primary service of passenger pick up and drop off. Their user base in terms of consumers and drivers is growing significantly. So, the engineering team at Uber keeps trying to find better ways to efficiently allocate nearby drivers to users.
The scenario and the problems discussed in this chapter discuss efficient driver allocation functionality and how we can improve it.
Statement
Imagine you are a developer on the Uber engineering team. The team is targeting some optimizations in driver allocation to rides as well as accessibility features for the client application. wants to ...